Overview

Brought to you by YData

Dataset statistics

Number of variables18
Number of observations13834
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.0 MiB
Average record size in memory152.0 B

Variable types

Text6
Numeric8
Categorical3
DateTime1

Alerts

Favorites is highly overall correlated with Members and 4 other fieldsHigh correlation
Members is highly overall correlated with Favorites and 4 other fieldsHigh correlation
Popularity is highly overall correlated with Favorites and 4 other fieldsHigh correlation
Rank is highly overall correlated with Favorites and 4 other fieldsHigh correlation
Score is highly overall correlated with Favorites and 4 other fieldsHigh correlation
Scored By is highly overall correlated with Favorites and 4 other fieldsHigh correlation
Episodes is highly skewed (γ1 = 35.42274494) Skewed
Favorites is highly skewed (γ1 = 20.19061967) Skewed
Rank is uniformly distributed Uniform
Name has unique values Unique
Rank has unique values Unique
Favorites has 2054 (14.8%) zeros Zeros

Reproduction

Analysis started2024-12-23 16:35:54.647952
Analysis finished2024-12-23 16:36:07.425350
Duration12.78 seconds
Software versionydata-profiling vv4.12.1
Download configurationconfig.json

Variables

Name
Text

Unique 

Distinct13834
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size216.2 KiB
2024-12-23T23:36:08.368001image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length124
Median length92
Mean length26.444918
Min length1

Characters and Unicode

Total characters365839
Distinct characters148
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique13834 ?
Unique (%)100.0%

Sample

1st rowFullmetal Alchemist: Brotherhood
2nd rowSteins;Gate
3rd rowBleach: Sennen Kessen-hen
4th rowGintama°
5th rowShingeki no Kyojin Season 3 Part 2
ValueCountFrequency (%)
no 3812
 
6.5%
the 805
 
1.4%
668
 
1.1%
movie 654
 
1.1%
to 638
 
1.1%
ni 473
 
0.8%
wa 434
 
0.7%
2 361
 
0.6%
animation 353
 
0.6%
wo 329
 
0.6%
Other values (14037) 50249
85.5%
2024-12-23T23:36:08.838552image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
44942
 
12.3%
a 31488
 
8.6%
i 27755
 
7.6%
o 27590
 
7.5%
n 23775
 
6.5%
e 23526
 
6.4%
u 19750
 
5.4%
r 12783
 
3.5%
s 12202
 
3.3%
t 11947
 
3.3%
Other values (138) 130081
35.6%

Most occurring categories

ValueCountFrequency (%)
(unknown) 365839
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
44942
 
12.3%
a 31488
 
8.6%
i 27755
 
7.6%
o 27590
 
7.5%
n 23775
 
6.5%
e 23526
 
6.4%
u 19750
 
5.4%
r 12783
 
3.5%
s 12202
 
3.3%
t 11947
 
3.3%
Other values (138) 130081
35.6%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 365839
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
44942
 
12.3%
a 31488
 
8.6%
i 27755
 
7.6%
o 27590
 
7.5%
n 23775
 
6.5%
e 23526
 
6.4%
u 19750
 
5.4%
r 12783
 
3.5%
s 12202
 
3.3%
t 11947
 
3.3%
Other values (138) 130081
35.6%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 365839
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
44942
 
12.3%
a 31488
 
8.6%
i 27755
 
7.6%
o 27590
 
7.5%
n 23775
 
6.5%
e 23526
 
6.4%
u 19750
 
5.4%
r 12783
 
3.5%
s 12202
 
3.3%
t 11947
 
3.3%
Other values (138) 130081
35.6%

Score
Real number (ℝ)

High correlation 

Distinct564
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.4500976
Minimum1.85
Maximum9.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size216.2 KiB
2024-12-23T23:36:08.995442image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1.85
5-th percentile4.91
Q15.83
median6.47
Q37.13
95-th percentile7.9135
Maximum9.1
Range7.25
Interquartile range (IQR)1.3

Descriptive statistics

Standard deviation0.92684597
Coefficient of variation (CV)0.14369488
Kurtosis0.19412009
Mean6.4500976
Median Absolute Deviation (MAD)0.65
Skewness-0.21962656
Sum89230.65
Variance0.85904346
MonotonicityDecreasing
2024-12-23T23:36:09.158089image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6.54 73
 
0.5%
6.51 73
 
0.5%
6.31 73
 
0.5%
6.52 71
 
0.5%
6.36 70
 
0.5%
6.73 70
 
0.5%
7.03 69
 
0.5%
6.25 68
 
0.5%
6.21 66
 
0.5%
6.58 65
 
0.5%
Other values (554) 13136
95.0%
ValueCountFrequency (%)
1.85 1
< 0.1%
1.98 1
< 0.1%
2.22 2
< 0.1%
2.3 1
< 0.1%
2.37 1
< 0.1%
2.53 1
< 0.1%
2.59 1
< 0.1%
2.63 1
< 0.1%
2.74 1
< 0.1%
2.76 1
< 0.1%
ValueCountFrequency (%)
9.1 1
 
< 0.1%
9.07 2
< 0.1%
9.06 1
 
< 0.1%
9.05 3
< 0.1%
9.04 3
< 0.1%
9.03 1
 
< 0.1%
9.02 1
 
< 0.1%
9 1
 
< 0.1%
8.98 2
< 0.1%
8.94 2
< 0.1%

Genres
Text

Distinct948
Distinct (%)6.9%
Missing0
Missing (%)0.0%
Memory size216.2 KiB
2024-12-23T23:36:09.337802image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length73
Median length64
Mean length17.083707
Min length5

Characters and Unicode

Total characters236336
Distinct characters36
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique402 ?
Unique (%)2.9%

Sample

1st rowAction, Adventure, Drama, Fantasy
2nd rowDrama, Sci-Fi, Suspense
3rd rowAction, Adventure, Fantasy
4th rowAction, Comedy, Sci-Fi
5th rowAction, Drama
ValueCountFrequency (%)
comedy 5039
15.6%
action 3925
12.2%
fantasy 3265
10.1%
adventure 2648
 
8.2%
sci-fi 2438
 
7.5%
drama 2189
 
6.8%
romance 1826
 
5.7%
hentai 1464
 
4.5%
supernatural 1268
 
3.9%
life 1173
 
3.6%
Other values (16) 7061
21.9%
2024-12-23T23:36:09.688432image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 19185
 
8.1%
18462
 
7.8%
a 17924
 
7.6%
n 15689
 
6.6%
, 15185
 
6.4%
t 14492
 
6.1%
o 13959
 
5.9%
i 13949
 
5.9%
r 10946
 
4.6%
c 10937
 
4.6%
Other values (26) 85608
36.2%

Most occurring categories

ValueCountFrequency (%)
(unknown) 236336
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
e 19185
 
8.1%
18462
 
7.8%
a 17924
 
7.6%
n 15689
 
6.6%
, 15185
 
6.4%
t 14492
 
6.1%
o 13959
 
5.9%
i 13949
 
5.9%
r 10946
 
4.6%
c 10937
 
4.6%
Other values (26) 85608
36.2%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 236336
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
e 19185
 
8.1%
18462
 
7.8%
a 17924
 
7.6%
n 15689
 
6.6%
, 15185
 
6.4%
t 14492
 
6.1%
o 13959
 
5.9%
i 13949
 
5.9%
r 10946
 
4.6%
c 10937
 
4.6%
Other values (26) 85608
36.2%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 236336
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
e 19185
 
8.1%
18462
 
7.8%
a 17924
 
7.6%
n 15689
 
6.6%
, 15185
 
6.4%
t 14492
 
6.1%
o 13959
 
5.9%
i 13949
 
5.9%
r 10946
 
4.6%
c 10937
 
4.6%
Other values (26) 85608
36.2%
Distinct13265
Distinct (%)95.9%
Missing0
Missing (%)0.0%
Memory size216.2 KiB
2024-12-23T23:36:10.060679image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length3631
Median length1112.5
Mean length462.97564
Min length12

Characters and Unicode

Total characters6404805
Distinct characters451
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique13163 ?
Unique (%)95.1%

Sample

1st rowAfter a horrific alchemy experiment goes wrong in the Elric household, brothers Edward and Alphonse are left in a catastrophic new reality. Ignoring the alchemical principle banning human transmutation, the boys attempted to bring their recently deceased mother back to life. Instead, they suffered brutal personal loss: Alphonse's body disintegrated while Edward lost a leg and then sacrificed an arm to keep Alphonse's soul in the physical realm by binding it to a hulking suit of armor. The brothers are rescued by their neighbor Pinako Rockbell and her granddaughter Winry. Known as a bio-mechanical engineering prodigy, Winry creates prosthetic limbs for Edward by utilizing "automail," a tough, versatile metal used in robots and combat armor. After years of training, the Elric brothers set off on a quest to restore their bodies by locating the Philosopher's Stone—a powerful gem that allows an alchemist to defy the traditional laws of Equivalent Exchange. As Edward becomes an infamous alchemist and gains the nickname "Fullmetal," the boys' journey embroils them in a growing conspiracy that threatens the fate of the world.
2nd rowEccentric scientist Rintarou Okabe has a never-ending thirst for scientific exploration. Together with his ditzy but well-meaning friend Mayuri Shiina and his roommate Itaru Hashida, Rintarou founds the Future Gadget Laboratory in the hopes of creating technological innovations that baffle the human psyche. Despite claims of grandeur, the only notable "gadget" the trio have created is a microwave that has the mystifying power to turn bananas into green goo. However, when Rintarou decides to attend neuroscientist Kurisu Makise's conference on time travel, he experiences a series of strange events that lead him to believe that there is more to the "Phone Microwave" gadget than meets the eye. Apparently able to send text messages into the past using the microwave, Rintarou dabbles further with the "time machine," attracting the ire and attention of the mysterious organization SERN. Due to the novel discovery, Rintarou and his friends find themselves in an ever-present danger. As he works to mitigate the damage his invention has caused to the timeline, he is not only fighting a battle to save his loved ones, but also one against his degrading sanity.
3rd rowSubstitute Soul Reaper Ichigo Kurosaki spends his days fighting against Hollows, dangerous evil spirits that threaten Karakura Town. Ichigo carries out his quest with his closest allies: Orihime Inoue, his childhood friend with a talent for healing; Yasutora Sado, his high school classmate with superhuman strength; and Uryuu Ishida, Ichigo's Quincy rival. Ichigo's vigilante routine is disrupted by the sudden appearance of Asguiaro Ebern, a dangerous Arrancar who heralds the return of Yhwach, an ancient Quincy king. Yhwach seeks to reignite the historic blood feud between Soul Reaper and Quincy, and he sets his sights on erasing both the human world and the Soul Society for good. Yhwach launches a two-pronged invasion into both the Soul Society and Hueco Mundo, the home of Hollows and Arrancar. In retaliation, Ichigo and his friends must fight alongside old allies and enemies alike to end Yhwach's campaign of carnage before the world itself comes to an end.
4th rowGintoki, Shinpachi, and Kagura return as the fun-loving but broke members of the Yorozuya team! Living in an alternate-reality Edo, where swords are prohibited and alien overlords have conquered Japan, they try to thrive on doing whatever work they can get their hands on. However, Shinpachi and Kagura still haven't been paid... Does Gin-chan really spend all that cash playing pachinko? Meanwhile, when Gintoki drunkenly staggers home one night, an alien spaceship crashes nearby. A fatally injured crew member emerges from the ship and gives Gintoki a strange, clock-shaped device, warning him that it is incredibly powerful and must be safeguarded. Mistaking it for his alarm clock, Gintoki proceeds to smash the device the next morning and suddenly discovers that the world outside his apartment has come to a standstill. With Kagura and Shinpachi at his side, he sets off to get the device fixed; though, as usual, nothing is ever that simple for the Yorozuya team. Filled with tongue-in-cheek humor and moments of heartfelt emotion, Gintama's fourth season finds Gintoki and his friends facing both their most hilarious misadventures and most dangerous crises yet.
5th rowSeeking to restore humanity's diminishing hope, the Survey Corps embark on a mission to retake Wall Maria, where the battle against the merciless "Titans" takes the stage once again. Returning to the tattered Shiganshina District that was once his home, Eren Yeager and the Corps find the town oddly unoccupied by Titans. Even after the outer gate is plugged, they strangely encounter no opposition. The mission progresses smoothly until Armin Arlert, highly suspicious of the enemy's absence, discovers distressing signs of a potential scheme against them. Shingeki no Kyojin Season 3 Part 2 follows Eren as he vows to take back everything that was once his. Alongside him, the Survey Corps strive—through countless sacrifices—to carve a path towards victory and uncover the secrets locked away in the Yeager family's basement.
ValueCountFrequency (%)
the 68754
 
6.4%
to 33832
 
3.1%
a 31918
 
3.0%
of 30082
 
2.8%
and 29426
 
2.7%
in 16896
 
1.6%
is 15368
 
1.4%
his 12181
 
1.1%
with 10844
 
1.0%
her 10170
 
0.9%
Other values (55812) 815358
75.9%
2024-12-23T23:36:10.619663image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1051315
16.4%
e 608531
 
9.5%
a 422566
 
6.6%
t 418124
 
6.5%
i 378847
 
5.9%
o 376766
 
5.9%
n 348443
 
5.4%
s 335857
 
5.2%
r 311617
 
4.9%
h 277624
 
4.3%
Other values (441) 1875115
29.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 6404805
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
1051315
16.4%
e 608531
 
9.5%
a 422566
 
6.6%
t 418124
 
6.5%
i 378847
 
5.9%
o 376766
 
5.9%
n 348443
 
5.4%
s 335857
 
5.2%
r 311617
 
4.9%
h 277624
 
4.3%
Other values (441) 1875115
29.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 6404805
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
1051315
16.4%
e 608531
 
9.5%
a 422566
 
6.6%
t 418124
 
6.5%
i 378847
 
5.9%
o 376766
 
5.9%
n 348443
 
5.4%
s 335857
 
5.2%
r 311617
 
4.9%
h 277624
 
4.3%
Other values (441) 1875115
29.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 6404805
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
1051315
16.4%
e 608531
 
9.5%
a 422566
 
6.6%
t 418124
 
6.5%
i 378847
 
5.9%
o 376766
 
5.9%
n 348443
 
5.4%
s 335857
 
5.2%
r 311617
 
4.9%
h 277624
 
4.3%
Other values (441) 1875115
29.3%

Type
Categorical

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size216.2 KiB
TV
4305 
OVA
3203 
Movie
2267 
Special
1903 
ONA
1755 

Length

Max length7
Median length5
Mean length3.6247651
Min length2

Characters and Unicode

Total characters50145
Distinct characters17
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowTV
2nd rowTV
3rd rowTV
4th rowTV
5th rowTV

Common Values

ValueCountFrequency (%)
TV 4305
31.1%
OVA 3203
23.2%
Movie 2267
16.4%
Special 1903
13.8%
ONA 1755
12.7%
Music 401
 
2.9%

Length

2024-12-23T23:36:10.760258image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-12-23T23:36:10.899565image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
ValueCountFrequency (%)
tv 4305
31.1%
ova 3203
23.2%
movie 2267
16.4%
special 1903
13.8%
ona 1755
12.7%
music 401
 
2.9%

Most occurring characters

ValueCountFrequency (%)
V 7508
15.0%
O 4958
9.9%
A 4958
9.9%
i 4571
9.1%
T 4305
8.6%
e 4170
8.3%
M 2668
 
5.3%
c 2304
 
4.6%
v 2267
 
4.5%
o 2267
 
4.5%
Other values (7) 10169
20.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 50145
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
V 7508
15.0%
O 4958
9.9%
A 4958
9.9%
i 4571
9.1%
T 4305
8.6%
e 4170
8.3%
M 2668
 
5.3%
c 2304
 
4.6%
v 2267
 
4.5%
o 2267
 
4.5%
Other values (7) 10169
20.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 50145
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
V 7508
15.0%
O 4958
9.9%
A 4958
9.9%
i 4571
9.1%
T 4305
8.6%
e 4170
8.3%
M 2668
 
5.3%
c 2304
 
4.6%
v 2267
 
4.5%
o 2267
 
4.5%
Other values (7) 10169
20.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 50145
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
V 7508
15.0%
O 4958
9.9%
A 4958
9.9%
i 4571
9.1%
T 4305
8.6%
e 4170
8.3%
M 2668
 
5.3%
c 2304
 
4.6%
v 2267
 
4.5%
o 2267
 
4.5%
Other values (7) 10169
20.3%

Episodes
Real number (ℝ)

Skewed 

Distinct186
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.893668
Minimum1
Maximum3057
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size216.2 KiB
2024-12-23T23:36:11.061812image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q312
95-th percentile50
Maximum3057
Range3056
Interquartile range (IQR)11

Descriptive statistics

Standard deviation46.403213
Coefficient of variation (CV)3.9015057
Kurtosis1823.8702
Mean11.893668
Median Absolute Deviation (MAD)1
Skewness35.422745
Sum164537
Variance2153.2582
MonotonicityNot monotonic
2024-12-23T23:36:11.230069image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 5827
42.1%
12 1649
 
11.9%
2 1270
 
9.2%
13 744
 
5.4%
3 562
 
4.1%
26 449
 
3.2%
4 426
 
3.1%
6 308
 
2.2%
24 265
 
1.9%
25 187
 
1.4%
Other values (176) 2147
 
15.5%
ValueCountFrequency (%)
1 5827
42.1%
2 1270
 
9.2%
3 562
 
4.1%
4 426
 
3.1%
5 134
 
1.0%
6 308
 
2.2%
7 83
 
0.6%
8 108
 
0.8%
9 54
 
0.4%
10 172
 
1.2%
ValueCountFrequency (%)
3057 1
< 0.1%
1818 1
< 0.1%
1787 1
< 0.1%
1471 1
< 0.1%
1428 1
< 0.1%
1006 1
< 0.1%
726 1
< 0.1%
694 1
< 0.1%
530 1
< 0.1%
526 1
< 0.1%
Distinct3974
Distinct (%)28.7%
Missing0
Missing (%)0.0%
Memory size216.2 KiB
2024-12-23T23:36:11.492556image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length375
Median length293
Mean length22.72864
Min length2

Characters and Unicode

Total characters314428
Distinct characters77
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3092 ?
Unique (%)22.4%

Sample

1st rowAniplex, Square Enix, Mainichi Broadcasting System, Studio Moriken
2nd rowFrontier Works, Media Factory, Kadokawa Shoten, Movic, AT-X, Kadokawa Pictures Japan, Nitroplus
3rd rowTV Tokyo, Aniplex, Dentsu, Shueisha
4th rowTV Tokyo, Aniplex, Dentsu
5th rowProduction I.G, Dentsu, Mainichi Broadcasting System, Pony Canyon, Kodansha, Techno Sound, Pony Canyon Enterprise
ValueCountFrequency (%)
unknown 5018
 
11.6%
tv 1160
 
2.7%
entertainment 949
 
2.2%
pictures 882
 
2.0%
tokyo 828
 
1.9%
bandai 733
 
1.7%
kadokawa 652
 
1.5%
music 616
 
1.4%
animation 589
 
1.4%
studio 556
 
1.3%
Other values (1567) 31399
72.4%
2024-12-23T23:36:11.936780image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
29548
 
9.4%
i 21327
 
6.8%
a 19616
 
6.2%
n 18836
 
6.0%
o 18524
 
5.9%
N 16912
 
5.4%
e 14868
 
4.7%
, 12595
 
4.0%
t 12516
 
4.0%
s 10397
 
3.3%
Other values (67) 139289
44.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 314428
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
29548
 
9.4%
i 21327
 
6.8%
a 19616
 
6.2%
n 18836
 
6.0%
o 18524
 
5.9%
N 16912
 
5.4%
e 14868
 
4.7%
, 12595
 
4.0%
t 12516
 
4.0%
s 10397
 
3.3%
Other values (67) 139289
44.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 314428
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
29548
 
9.4%
i 21327
 
6.8%
a 19616
 
6.2%
n 18836
 
6.0%
o 18524
 
5.9%
N 16912
 
5.4%
e 14868
 
4.7%
, 12595
 
4.0%
t 12516
 
4.0%
s 10397
 
3.3%
Other values (67) 139289
44.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 314428
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
29548
 
9.4%
i 21327
 
6.8%
a 19616
 
6.2%
n 18836
 
6.0%
o 18524
 
5.9%
N 16912
 
5.4%
e 14868
 
4.7%
, 12595
 
4.0%
t 12516
 
4.0%
s 10397
 
3.3%
Other values (67) 139289
44.3%
Distinct1298
Distinct (%)9.4%
Missing0
Missing (%)0.0%
Memory size216.2 KiB
2024-12-23T23:36:12.227840image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length126
Median length81
Mean length10.935593
Min length2

Characters and Unicode

Total characters151283
Distinct characters76
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique655 ?
Unique (%)4.7%

Sample

1st rowBones
2nd rowWhite Fox
3rd rowPierrot
4th rowBandai Namco Pictures
5th rowWit Studio
ValueCountFrequency (%)
unknown 2345
 
10.3%
animation 1507
 
6.6%
studio 1388
 
6.1%
toei 688
 
3.0%
production 663
 
2.9%
sunrise 486
 
2.1%
entertainment 416
 
1.8%
pictures 378
 
1.7%
j.c.staff 374
 
1.6%
madhouse 353
 
1.6%
Other values (1044) 14081
62.1%
2024-12-23T23:36:12.701373image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
i 12417
 
8.2%
o 10805
 
7.1%
n 9562
 
6.3%
8845
 
5.8%
t 8547
 
5.6%
e 8208
 
5.4%
N 7862
 
5.2%
a 7790
 
5.1%
u 5353
 
3.5%
r 5198
 
3.4%
Other values (66) 66696
44.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 151283
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
i 12417
 
8.2%
o 10805
 
7.1%
n 9562
 
6.3%
8845
 
5.8%
t 8547
 
5.6%
e 8208
 
5.4%
N 7862
 
5.2%
a 7790
 
5.1%
u 5353
 
3.5%
r 5198
 
3.4%
Other values (66) 66696
44.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 151283
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
i 12417
 
8.2%
o 10805
 
7.1%
n 9562
 
6.3%
8845
 
5.8%
t 8547
 
5.6%
e 8208
 
5.4%
N 7862
 
5.2%
a 7790
 
5.1%
u 5353
 
3.5%
r 5198
 
3.4%
Other values (66) 66696
44.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 151283
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
i 12417
 
8.2%
o 10805
 
7.1%
n 9562
 
6.3%
8845
 
5.8%
t 8547
 
5.6%
e 8208
 
5.4%
N 7862
 
5.2%
a 7790
 
5.1%
u 5353
 
3.5%
r 5198
 
3.4%
Other values (66) 66696
44.1%

Source
Categorical

Distinct17
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size216.2 KiB
Manga
4051 
Original
3593 
Unknown
1508 
Visual novel
1063 
Light novel
867 
Other values (12)
2752 

Length

Max length12
Median length11
Mean length7.1530288
Min length4

Characters and Unicode

Total characters98955
Distinct characters35
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowManga
2nd rowVisual novel
3rd rowManga
4th rowManga
5th rowManga

Common Values

ValueCountFrequency (%)
Manga 4051
29.3%
Original 3593
26.0%
Unknown 1508
 
10.9%
Visual novel 1063
 
7.7%
Light novel 867
 
6.3%
Game 842
 
6.1%
Novel 512
 
3.7%
Other 416
 
3.0%
Web manga 306
 
2.2%
4-koma manga 279
 
2.0%
Other values (7) 397
 
2.9%

Length

2024-12-23T23:36:12.858873image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
manga 4636
28.0%
original 3593
21.7%
novel 2481
15.0%
unknown 1508
 
9.1%
visual 1063
 
6.4%
game 891
 
5.4%
light 867
 
5.2%
other 416
 
2.5%
web 345
 
2.1%
4-koma 279
 
1.7%
Other values (7) 474
 
2.9%

Most occurring characters

ValueCountFrequency (%)
a 15225
15.4%
n 14722
14.9%
i 9411
9.5%
g 9145
9.2%
l 7137
 
7.2%
o 4537
 
4.6%
e 4318
 
4.4%
M 4221
 
4.3%
r 4105
 
4.1%
O 4009
 
4.1%
Other values (25) 22125
22.4%

Most occurring categories

ValueCountFrequency (%)
(unknown) 98955
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
a 15225
15.4%
n 14722
14.9%
i 9411
9.5%
g 9145
9.2%
l 7137
 
7.2%
o 4537
 
4.6%
e 4318
 
4.4%
M 4221
 
4.3%
r 4105
 
4.1%
O 4009
 
4.1%
Other values (25) 22125
22.4%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 98955
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
a 15225
15.4%
n 14722
14.9%
i 9411
9.5%
g 9145
9.2%
l 7137
 
7.2%
o 4537
 
4.6%
e 4318
 
4.4%
M 4221
 
4.3%
r 4105
 
4.1%
O 4009
 
4.1%
Other values (25) 22125
22.4%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 98955
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
a 15225
15.4%
n 14722
14.9%
i 9411
9.5%
g 9145
9.2%
l 7137
 
7.2%
o 4537
 
4.6%
e 4318
 
4.4%
M 4221
 
4.3%
r 4105
 
4.1%
O 4009
 
4.1%
Other values (25) 22125
22.4%

Time per ep (Min)
Real number (ℝ)

Distinct197
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26.627488
Minimum0.1
Maximum168
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size216.2 KiB
2024-12-23T23:36:13.003431image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum0.1
5-th percentile1
Q110
median24
Q327
95-th percentile92
Maximum168
Range167.9
Interquartile range (IQR)17

Descriptive statistics

Standard deviation25.478353
Coefficient of variation (CV)0.95684405
Kurtosis4.0168967
Mean26.627488
Median Absolute Deviation (MAD)7
Skewness1.9757032
Sum368364.67
Variance649.1465
MonotonicityNot monotonic
2024-12-23T23:36:13.167250image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
24 2075
 
15.0%
23 1528
 
11.0%
25 866
 
6.3%
3 652
 
4.7%
1 476
 
3.4%
2 472
 
3.4%
4 470
 
3.4%
5 420
 
3.0%
30 356
 
2.6%
28 353
 
2.6%
Other values (187) 6166
44.6%
ValueCountFrequency (%)
0.1 1
 
< 0.1%
0.12 1
 
< 0.1%
0.17 3
 
< 0.1%
0.2 4
 
< 0.1%
0.23 1
 
< 0.1%
0.25 31
0.2%
0.27 5
 
< 0.1%
0.28 1
 
< 0.1%
0.3 1
 
< 0.1%
0.32 1
 
< 0.1%
ValueCountFrequency (%)
168 1
< 0.1%
163 1
< 0.1%
161 2
< 0.1%
160 1
< 0.1%
155 1
< 0.1%
153 1
< 0.1%
152 1
< 0.1%
150 1
< 0.1%
149 1
< 0.1%
148 2
< 0.1%

Rating
Categorical

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size216.2 KiB
PG-13 - Teens 13 or older
6431 
G - All Ages
2761 
Rx - Hentai
1454 
R - 17+ (violence & profanity)
1239 
R+ - Mild Nudity
1018 

Length

Max length30
Median length25
Mean length19.911956
Min length11

Characters and Unicode

Total characters275462
Distinct characters37
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowR - 17+ (violence & profanity)
2nd rowPG-13 - Teens 13 or older
3rd rowR - 17+ (violence & profanity)
4th rowPG-13 - Teens 13 or older
5th rowR - 17+ (violence & profanity)

Common Values

ValueCountFrequency (%)
PG-13 - Teens 13 or older 6431
46.5%
G - All Ages 2761
20.0%
Rx - Hentai 1454
 
10.5%
R - 17+ (violence & profanity) 1239
 
9.0%
R+ - Mild Nudity 1018
 
7.4%
PG - Children 931
 
6.7%

Length

2024-12-23T23:36:13.333483image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-12-23T23:36:13.483233image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
ValueCountFrequency (%)
15073
22.1%
pg-13 6431
9.4%
teens 6431
9.4%
13 6431
9.4%
or 6431
9.4%
older 6431
9.4%
g 2761
 
4.0%
all 2761
 
4.0%
ages 2761
 
4.0%
r 2257
 
3.3%
Other values (9) 10523
15.4%

Most occurring characters

ValueCountFrequency (%)
54457
19.8%
e 26917
 
9.8%
- 20265
 
7.4%
o 15340
 
5.6%
l 15141
 
5.5%
r 15032
 
5.5%
1 14101
 
5.1%
3 12862
 
4.7%
n 11294
 
4.1%
G 10123
 
3.7%
Other values (27) 79930
29.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 275462
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
54457
19.8%
e 26917
 
9.8%
- 20265
 
7.4%
o 15340
 
5.6%
l 15141
 
5.5%
r 15032
 
5.5%
1 14101
 
5.1%
3 12862
 
4.7%
n 11294
 
4.1%
G 10123
 
3.7%
Other values (27) 79930
29.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 275462
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
54457
19.8%
e 26917
 
9.8%
- 20265
 
7.4%
o 15340
 
5.6%
l 15141
 
5.5%
r 15032
 
5.5%
1 14101
 
5.1%
3 12862
 
4.7%
n 11294
 
4.1%
G 10123
 
3.7%
Other values (27) 79930
29.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 275462
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
54457
19.8%
e 26917
 
9.8%
- 20265
 
7.4%
o 15340
 
5.6%
l 15141
 
5.5%
r 15032
 
5.5%
1 14101
 
5.1%
3 12862
 
4.7%
n 11294
 
4.1%
G 10123
 
3.7%
Other values (27) 79930
29.0%

Rank
Real number (ℝ)

High correlation  Uniform  Unique 

Distinct13834
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6917.5
Minimum1
Maximum13834
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size216.2 KiB
2024-12-23T23:36:13.633710image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile692.65
Q13459.25
median6917.5
Q310375.75
95-th percentile13142.35
Maximum13834
Range13833
Interquartile range (IQR)6916.5

Descriptive statistics

Standard deviation3993.6761
Coefficient of variation (CV)0.5773294
Kurtosis-1.2
Mean6917.5
Median Absolute Deviation (MAD)3458.5
Skewness0
Sum95696695
Variance15949449
MonotonicityStrictly increasing
2024-12-23T23:36:13.789045image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
9227 1
 
< 0.1%
9216 1
 
< 0.1%
9217 1
 
< 0.1%
9218 1
 
< 0.1%
9219 1
 
< 0.1%
9220 1
 
< 0.1%
9221 1
 
< 0.1%
9222 1
 
< 0.1%
9223 1
 
< 0.1%
Other values (13824) 13824
99.9%
ValueCountFrequency (%)
1 1
< 0.1%
2 1
< 0.1%
3 1
< 0.1%
4 1
< 0.1%
5 1
< 0.1%
6 1
< 0.1%
7 1
< 0.1%
8 1
< 0.1%
9 1
< 0.1%
10 1
< 0.1%
ValueCountFrequency (%)
13834 1
< 0.1%
13833 1
< 0.1%
13832 1
< 0.1%
13831 1
< 0.1%
13830 1
< 0.1%
13829 1
< 0.1%
13828 1
< 0.1%
13827 1
< 0.1%
13826 1
< 0.1%
13825 1
< 0.1%

Popularity
Real number (ℝ)

High correlation 

Distinct11272
Distinct (%)81.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7520.5692
Minimum1
Maximum19191
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size216.2 KiB
2024-12-23T23:36:13.951682image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile693.65
Q13544.25
median7289
Q311212.75
95-th percentile15197
Maximum19191
Range19190
Interquartile range (IQR)7668.5

Descriptive statistics

Standard deviation4620.3681
Coefficient of variation (CV)0.61436415
Kurtosis-0.96966036
Mean7520.5692
Median Absolute Deviation (MAD)3830.5
Skewness0.20910318
Sum1.0403955 × 108
Variance21347801
MonotonicityNot monotonic
2024-12-23T23:36:14.317710image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6090 5
 
< 0.1%
5374 4
 
< 0.1%
5590 4
 
< 0.1%
12520 4
 
< 0.1%
12471 4
 
< 0.1%
10696 4
 
< 0.1%
5494 4
 
< 0.1%
6114 4
 
< 0.1%
4666 4
 
< 0.1%
5172 4
 
< 0.1%
Other values (11262) 13793
99.7%
ValueCountFrequency (%)
1 1
< 0.1%
2 1
< 0.1%
3 1
< 0.1%
4 1
< 0.1%
5 1
< 0.1%
6 1
< 0.1%
7 1
< 0.1%
8 1
< 0.1%
9 1
< 0.1%
10 1
< 0.1%
ValueCountFrequency (%)
19191 1
< 0.1%
19160 1
< 0.1%
18826 1
< 0.1%
18801 1
< 0.1%
18745 1
< 0.1%
18705 1
< 0.1%
18704 1
< 0.1%
18691 1
< 0.1%
18686 1
< 0.1%
18683 1
< 0.1%

Favorites
Real number (ℝ)

High correlation  Skewed  Zeros 

Distinct1796
Distinct (%)13.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean773.67977
Minimum0
Maximum217606
Zeros2054
Zeros (%)14.8%
Negative0
Negative (%)0.0%
Memory size216.2 KiB
2024-12-23T23:36:14.482778image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median10
Q381
95-th percentile2107.35
Maximum217606
Range217606
Interquartile range (IQR)79

Descriptive statistics

Standard deviation5818.0297
Coefficient of variation (CV)7.5199455
Kurtosis561.02466
Mean773.67977
Median Absolute Deviation (MAD)10
Skewness20.19062
Sum10703086
Variance33849470
MonotonicityNot monotonic
2024-12-23T23:36:14.649877image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2054
 
14.8%
1 1291
 
9.3%
2 873
 
6.3%
3 639
 
4.6%
4 445
 
3.2%
5 440
 
3.2%
6 294
 
2.1%
7 254
 
1.8%
9 234
 
1.7%
8 234
 
1.7%
Other values (1786) 7076
51.1%
ValueCountFrequency (%)
0 2054
14.8%
1 1291
9.3%
2 873
6.3%
3 639
 
4.6%
4 445
 
3.2%
5 440
 
3.2%
6 294
 
2.1%
7 254
 
1.8%
8 234
 
1.7%
9 234
 
1.7%
ValueCountFrequency (%)
217606 1
< 0.1%
200265 1
< 0.1%
198986 1
< 0.1%
182964 1
< 0.1%
167586 1
< 0.1%
163844 1
< 0.1%
107735 1
< 0.1%
105379 1
< 0.1%
100638 1
< 0.1%
88375 1
< 0.1%

Scored By
Real number (ℝ)

High correlation 

Distinct8115
Distinct (%)58.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33817.131
Minimum100
Maximum2660903
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size216.2 KiB
2024-12-23T23:36:14.802522image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum100
5-th percentile152
Q1528.25
median2339.5
Q314323.75
95-th percentile154663.95
Maximum2660903
Range2660803
Interquartile range (IQR)13795.5

Descriptive statistics

Standard deviation124017.76
Coefficient of variation (CV)3.6673058
Kurtosis103.90051
Mean33817.131
Median Absolute Deviation (MAD)2126.5
Skewness8.6521486
Sum4.6782619 × 108
Variance1.5380405 × 1010
MonotonicityNot monotonic
2024-12-23T23:36:15.008384image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
172 23
 
0.2%
137 22
 
0.2%
163 22
 
0.2%
130 21
 
0.2%
124 21
 
0.2%
171 21
 
0.2%
147 21
 
0.2%
143 20
 
0.1%
134 20
 
0.1%
185 19
 
0.1%
Other values (8105) 13624
98.5%
ValueCountFrequency (%)
100 1
 
< 0.1%
102 1
 
< 0.1%
103 6
 
< 0.1%
104 7
0.1%
105 7
0.1%
106 11
0.1%
107 11
0.1%
108 11
0.1%
109 10
0.1%
110 15
0.1%
ValueCountFrequency (%)
2660903 1
< 0.1%
2619479 1
< 0.1%
2131099 1
< 0.1%
2072240 1
< 0.1%
2020030 1
< 0.1%
1977824 1
< 0.1%
1943121 1
< 0.1%
1883772 1
< 0.1%
1807089 1
< 0.1%
1791023 1
< 0.1%

Members
Real number (ℝ)

High correlation 

Distinct10205
Distinct (%)73.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean65718.56
Minimum180
Maximum3744541
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size216.2 KiB
2024-12-23T23:36:15.206656image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum180
5-th percentile469
Q11644.25
median6300
Q334609.75
95-th percentile319201.15
Maximum3744541
Range3744361
Interquartile range (IQR)32965.5

Descriptive statistics

Standard deviation205843.7
Coefficient of variation (CV)3.1322004
Kurtosis69.383396
Mean65718.56
Median Absolute Deviation (MAD)5571.5
Skewness7.1032723
Sum9.0915056 × 108
Variance4.2371629 × 1010
MonotonicityNot monotonic
2024-12-23T23:36:15.408916image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
590 9
 
0.1%
716 9
 
0.1%
483 9
 
0.1%
487 9
 
0.1%
1231 9
 
0.1%
875 8
 
0.1%
350 8
 
0.1%
528 8
 
0.1%
905 8
 
0.1%
470 7
 
0.1%
Other values (10195) 13750
99.4%
ValueCountFrequency (%)
180 1
 
< 0.1%
182 1
 
< 0.1%
203 2
< 0.1%
207 1
 
< 0.1%
208 3
< 0.1%
209 1
 
< 0.1%
210 1
 
< 0.1%
211 1
 
< 0.1%
215 1
 
< 0.1%
217 3
< 0.1%
ValueCountFrequency (%)
3744541 1
< 0.1%
3713315 1
< 0.1%
3176556 1
< 0.1%
3058666 1
< 0.1%
2951821 1
< 0.1%
2882333 1
< 0.1%
2808712 1
< 0.1%
2717330 1
< 0.1%
2699241 1
< 0.1%
2656870 1
< 0.1%
Distinct6401
Distinct (%)46.3%
Missing0
Missing (%)0.0%
Memory size216.2 KiB
Minimum1917-01-01 00:00:00
Maximum2023-06-18 00:00:00
Invalid dates0
Invalid dates (%)0.0%
2024-12-23T23:36:15.602496image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2024-12-23T23:36:15.789975image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct6390
Distinct (%)46.2%
Missing0
Missing (%)0.0%
Memory size216.2 KiB
2024-12-23T23:36:16.174614image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length10
Median length10
Mean length9.9845309
Min length8

Characters and Unicode

Total characters138126
Distinct characters19
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3420 ?
Unique (%)24.7%

Sample

1st row2010-07-04
2nd row2011-09-14
3rd row2022-12-27
4th row2016-03-30
5th row2019-07-01
ValueCountFrequency (%)
updating 107
 
0.8%
2008-01-01 35
 
0.3%
2005-01-01 28
 
0.2%
2003-01-01 27
 
0.2%
2002-01-01 27
 
0.2%
2004-01-01 25
 
0.2%
2007-01-01 24
 
0.2%
2009-01-01 23
 
0.2%
2010-01-01 22
 
0.2%
2013-01-01 21
 
0.2%
Other values (6380) 13495
97.5%
2024-12-23T23:36:16.641610image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 31394
22.7%
- 27454
19.9%
2 24416
17.7%
1 20918
15.1%
9 8556
 
6.2%
3 5439
 
3.9%
8 4343
 
3.1%
6 4052
 
2.9%
7 3979
 
2.9%
5 3470
 
2.5%
Other values (9) 4105
 
3.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 138126
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 31394
22.7%
- 27454
19.9%
2 24416
17.7%
1 20918
15.1%
9 8556
 
6.2%
3 5439
 
3.9%
8 4343
 
3.1%
6 4052
 
2.9%
7 3979
 
2.9%
5 3470
 
2.5%
Other values (9) 4105
 
3.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 138126
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 31394
22.7%
- 27454
19.9%
2 24416
17.7%
1 20918
15.1%
9 8556
 
6.2%
3 5439
 
3.9%
8 4343
 
3.1%
6 4052
 
2.9%
7 3979
 
2.9%
5 3470
 
2.5%
Other values (9) 4105
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 138126
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 31394
22.7%
- 27454
19.9%
2 24416
17.7%
1 20918
15.1%
9 8556
 
6.2%
3 5439
 
3.9%
8 4343
 
3.1%
6 4052
 
2.9%
7 3979
 
2.9%
5 3470
 
2.5%
Other values (9) 4105
 
3.0%

Interactions

2024-12-23T23:36:04.807692image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2024-12-23T23:35:57.681388image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2024-12-23T23:35:58.690491image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2024-12-23T23:35:59.784415image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2024-12-23T23:36:00.755561image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2024-12-23T23:36:01.692138image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2024-12-23T23:36:02.814608image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2024-12-23T23:36:03.748739image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2024-12-23T23:36:04.923412image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2024-12-23T23:35:57.818311image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2024-12-23T23:35:58.804071image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2024-12-23T23:35:59.901715image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2024-12-23T23:36:00.874506image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2024-12-23T23:36:01.820511image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2024-12-23T23:36:02.921772image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2024-12-23T23:36:03.909917image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2024-12-23T23:36:05.109945image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2024-12-23T23:35:57.936884image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2024-12-23T23:35:58.909982image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2024-12-23T23:36:00.012243image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2024-12-23T23:36:00.987717image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2024-12-23T23:36:01.935630image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2024-12-23T23:36:03.023686image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2024-12-23T23:36:04.034839image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2024-12-23T23:36:05.231294image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2024-12-23T23:35:58.051312image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2024-12-23T23:35:59.023692image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2024-12-23T23:36:00.133381image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2024-12-23T23:36:01.103862image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2024-12-23T23:36:02.053560image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2024-12-23T23:36:03.142028image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2024-12-23T23:36:04.201739image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2024-12-23T23:36:05.355734image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2024-12-23T23:35:58.191776image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2024-12-23T23:35:59.136619image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2024-12-23T23:36:00.256265image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2024-12-23T23:36:01.215312image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2024-12-23T23:36:02.188271image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2024-12-23T23:36:03.254229image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2024-12-23T23:36:04.315192image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2024-12-23T23:36:05.528919image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2024-12-23T23:35:58.318905image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2024-12-23T23:35:59.429957image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2024-12-23T23:36:00.396240image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2024-12-23T23:36:01.342301image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2024-12-23T23:36:02.342098image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2024-12-23T23:36:03.396963image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2024-12-23T23:36:04.474168image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2024-12-23T23:36:05.657436image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2024-12-23T23:35:58.433053image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2024-12-23T23:35:59.535593image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2024-12-23T23:36:00.526577image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2024-12-23T23:36:01.445501image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2024-12-23T23:36:02.458510image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2024-12-23T23:36:03.498176image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2024-12-23T23:36:04.581937image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2024-12-23T23:36:05.834918image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2024-12-23T23:35:58.573255image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2024-12-23T23:35:59.652736image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2024-12-23T23:36:00.636127image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2024-12-23T23:36:01.556248image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2024-12-23T23:36:02.657573image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2024-12-23T23:36:03.605950image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2024-12-23T23:36:04.695460image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Correlations

2024-12-23T23:36:16.756812image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
EpisodesFavoritesMembersPopularityRankRatingScoreScored BySourceTime per ep (Min)Type
Episodes1.0000.4100.314-0.314-0.2910.0170.2910.2660.000-0.1260.010
Favorites0.4101.0000.917-0.917-0.7530.0450.7520.8970.0090.2430.049
Members0.3140.9171.000-1.000-0.7340.0900.7320.9870.0680.2390.115
Popularity-0.314-0.917-1.0001.0000.7340.276-0.732-0.9870.192-0.2390.284
Rank-0.291-0.753-0.7340.7341.0000.185-1.000-0.7210.144-0.2940.169
Rating0.0170.0450.0900.2760.1851.0000.1860.0720.3130.1760.298
Score0.2910.7520.732-0.732-1.0000.1861.0000.7190.1400.2940.167
Scored By0.2660.8970.987-0.987-0.7210.0720.7191.0000.0570.2170.093
Source0.0000.0090.0680.1920.1440.3130.1400.0571.0000.1300.290
Time per ep (Min)-0.1260.2430.239-0.239-0.2940.1760.2940.2170.1301.0000.398
Type0.0100.0490.1150.2840.1690.2980.1670.0930.2900.3981.000

Missing values

2024-12-23T23:36:06.317638image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
A simple visualization of nullity by column.
2024-12-23T23:36:06.678044image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

NameScoreGenresSynopsisTypeEpisodesProducersStudiosSourceTime per ep (Min)RatingRankPopularityFavoritesScored ByMembersReleased dateCompleted date
0Fullmetal Alchemist: Brotherhood9.10Action, Adventure, Drama, FantasyAfter a horrific alchemy experiment goes wrong in the Elric household, brothers Edward and Alphonse are left in a catastrophic new reality. Ignoring the alchemical principle banning human transmutation, the boys attempted to bring their recently deceased mother back to life. Instead, they suffered brutal personal loss: Alphonse's body disintegrated while Edward lost a leg and then sacrificed an arm to keep Alphonse's soul in the physical realm by binding it to a hulking suit of armor.\r\n\r\nThe brothers are rescued by their neighbor Pinako Rockbell and her granddaughter Winry. Known as a bio-mechanical engineering prodigy, Winry creates prosthetic limbs for Edward by utilizing "automail," a tough, versatile metal used in robots and combat armor. After years of training, the Elric brothers set off on a quest to restore their bodies by locating the Philosopher's Stone—a powerful gem that allows an alchemist to defy the traditional laws of Equivalent Exchange.\r\n\r\nAs Edward becomes an infamous alchemist and gains the nickname "Fullmetal," the boys' journey embroils them in a growing conspiracy that threatens the fate of the world.TV64.0Aniplex, Square Enix, Mainichi Broadcasting System, Studio MorikenBonesManga24.0R - 17+ (violence & profanity)13217606202003031765562009-04-052010-07-04
1Steins;Gate9.07Drama, Sci-Fi, SuspenseEccentric scientist Rintarou Okabe has a never-ending thirst for scientific exploration. Together with his ditzy but well-meaning friend Mayuri Shiina and his roommate Itaru Hashida, Rintarou founds the Future Gadget Laboratory in the hopes of creating technological innovations that baffle the human psyche. Despite claims of grandeur, the only notable "gadget" the trio have created is a microwave that has the mystifying power to turn bananas into green goo.\r\n\r\nHowever, when Rintarou decides to attend neuroscientist Kurisu Makise's conference on time travel, he experiences a series of strange events that lead him to believe that there is more to the "Phone Microwave" gadget than meets the eye. Apparently able to send text messages into the past using the microwave, Rintarou dabbles further with the "time machine," attracting the ire and attention of the mysterious organization SERN.\r\n\r\nDue to the novel discovery, Rintarou and his friends find themselves in an ever-present danger. As he works to mitigate the damage his invention has caused to the timeline, he is not only fighting a battle to save his loved ones, but also one against his degrading sanity.TV24.0Frontier Works, Media Factory, Kadokawa Shoten, Movic, AT-X, Kadokawa Pictures Japan, NitroplusWhite FoxVisual novel24.0PG-13 - Teens 13 or older213182964133623324403692011-04-062011-09-14
2Bleach: Sennen Kessen-hen9.07Action, Adventure, FantasySubstitute Soul Reaper Ichigo Kurosaki spends his days fighting against Hollows, dangerous evil spirits that threaten Karakura Town. Ichigo carries out his quest with his closest allies: Orihime Inoue, his childhood friend with a talent for healing; Yasutora Sado, his high school classmate with superhuman strength; and Uryuu Ishida, Ichigo's Quincy rival.\r\n\r\nIchigo's vigilante routine is disrupted by the sudden appearance of Asguiaro Ebern, a dangerous Arrancar who heralds the return of Yhwach, an ancient Quincy king. Yhwach seeks to reignite the historic blood feud between Soul Reaper and Quincy, and he sets his sights on erasing both the human world and the Soul Society for good.\r\n\r\nYhwach launches a two-pronged invasion into both the Soul Society and Hueco Mundo, the home of Hollows and Arrancar. In retaliation, Ichigo and his friends must fight alongside old allies and enemies alike to end Yhwach's campaign of carnage before the world itself comes to an end.TV13.0TV Tokyo, Aniplex, Dentsu, ShueishaPierrotManga24.0R - 17+ (violence & profanity)3464179992138724451982022-10-112022-12-27
3Gintama°9.06Action, Comedy, Sci-FiGintoki, Shinpachi, and Kagura return as the fun-loving but broke members of the Yorozuya team! Living in an alternate-reality Edo, where swords are prohibited and alien overlords have conquered Japan, they try to thrive on doing whatever work they can get their hands on. However, Shinpachi and Kagura still haven't been paid... Does Gin-chan really spend all that cash playing pachinko?\r\n\r\nMeanwhile, when Gintoki drunkenly staggers home one night, an alien spaceship crashes nearby. A fatally injured crew member emerges from the ship and gives Gintoki a strange, clock-shaped device, warning him that it is incredibly powerful and must be safeguarded. Mistaking it for his alarm clock, Gintoki proceeds to smash the device the next morning and suddenly discovers that the world outside his apartment has come to a standstill. With Kagura and Shinpachi at his side, he sets off to get the device fixed; though, as usual, nothing is ever that simple for the Yorozuya team.\r\n\r\nFilled with tongue-in-cheek humor and moments of heartfelt emotion, Gintama's fourth season finds Gintoki and his friends facing both their most hilarious misadventures and most dangerous crises yet.TV51.0TV Tokyo, Aniplex, DentsuBandai Namco PicturesManga24.0PG-13 - Teens 13 or older4331159472379575957672015-04-082016-03-30
4Shingeki no Kyojin Season 3 Part 29.05Action, DramaSeeking to restore humanity's diminishing hope, the Survey Corps embark on a mission to retake Wall Maria, where the battle against the merciless "Titans" takes the stage once again.\r\n\r\nReturning to the tattered Shiganshina District that was once his home, Eren Yeager and the Corps find the town oddly unoccupied by Titans. Even after the outer gate is plugged, they strangely encounter no opposition. The mission progresses smoothly until Armin Arlert, highly suspicious of the enemy's absence, discovers distressing signs of a potential scheme against them. \r\n\r\nShingeki no Kyojin Season 3 Part 2 follows Eren as he vows to take back everything that was once his. Alongside him, the Survey Corps strive—through countless sacrifices—to carve a path towards victory and uncover the secrets locked away in the Yeager family's basement.TV10.0Production I.G, Dentsu, Mainichi Broadcasting System, Pony Canyon, Kodansha, Techno Sound, Pony Canyon EnterpriseWit StudioManga23.0R - 17+ (violence & profanity)52455245147182521040162019-04-292019-07-01
5Kaguya-sama wa Kokurasetai: Ultra Romantic9.05Comedy, RomanceThe elite members of Shuchiin Academy's student council continue their competitive day-to-day antics. Council president Miyuki Shirogane clashes daily against vice-president Kaguya Shinomiya, each fighting tooth and nail to trick the other into confessing their romantic love. Kaguya struggles within the strict confines of her wealthy, uptight family, rebelling against her cold default demeanor as she warms to Shirogane and the rest of her friends.\r\n\r\nMeanwhile, council treasurer Yuu Ishigami suffers under the weight of his hopeless crush on Tsubame Koyasu, a popular upperclassman who helps to instill a new confidence in him. Miko Iino, the newest student council member, grows closer to the rule-breaking Ishigami while striving to overcome her own authoritarian moral code.\r\n\r\nAs love further blooms at Shuchiin Academy, the student council officers drag their outsider friends into increasingly comedic conflicts.TV13.0Aniplex, Mainichi Broadcasting System, Magic Capsule, Shueisha, JR East Marketing & CommunicationsA-1 PicturesManga23.0PG-13 - Teens 13 or older6198291184511878206422022-04-092022-06-25
6Shingeki no Kyojin: The Final Season - Kanketsu-hen9.05Action, Drama, SuspenseIn the wake of Eren Yeager's cataclysmic actions, his friends and former enemies form an alliance against his genocidal rampage. Though once bitter foes, Armin Arlert, Mikasa Ackerman, and the remaining members of the Scout Regiment join forces with Reiner Braun and the survivors of the Marleyan military. Their meager united front sets out on a mission to stop Eren's wrath and—if possible—save their old comrade in the process.\r\n\r\nAs Eren pushes forward at any cost, he battles his own internal turmoil. Although he feels immense remorse over his horrific invasion, Eren believes he harbors noble intentions: he believes the path ahead is the only way to save his friends and, to a greater extent, his people.\r\n\r\nThe opposing battalions spiral toward an inevitable final clash that may claim the lives of millions. Though they face an army of monsters beyond anything they could have previously imagined, Mikasa, Armin, and their allies stand brave in the face of certain doom.Special2.0Production I.G, Dentsu, Mainichi Broadcasting System, Pony Canyon, Kodansha, Pony Canyon EnterpriseMAPPAManga61.0R - 17+ (violence & profanity)747990781557734356722023-03-042023-01-01
7Hunter x Hunter (2011)9.04Action, Adventure, FantasyHunters devote themselves to accomplishing hazardous tasks, all from traversing the world's uncharted territories to locating rare items and monsters. Before becoming a Hunter, one must pass the Hunter Examination—a high-risk selection process in which most applicants end up handicapped or worse, deceased.\r\n\r\nAmbitious participants who challenge the notorious exam carry their own reason. What drives 12-year-old Gon Freecss is finding Ging, his father and a Hunter himself. Believing that he will meet his father by becoming a Hunter, Gon takes the first step to walk the same path.\r\n\r\nDuring the Hunter Examination, Gon befriends the medical student Leorio Paladiknight, the vindictive Kurapika, and ex-assassin Killua Zoldyck. While their motives vastly differ from each other, they band together for a common goal and begin to venture into a perilous world.TV148.0VAP, Nippon Television Network, ShueishaMadhouseManga23.0PG-13 - Teens 13 or older810200265165179026568702011-10-022014-09-24
8Gintama'9.04Action, Comedy, Sci-FiAfter a one-year hiatus, Shinpachi Shimura returns to Edo, only to stumble upon a shocking surprise: Gintoki and Kagura, his fellow Yorozuya members, have become completely different characters! Fleeing from the Yorozuya headquarters in confusion, Shinpachi finds that all the denizens of Edo have undergone impossibly extreme changes, in both appearance and personality. Most unbelievably, his sister Otae has married the Shinsengumi chief and shameless stalker Isao Kondou and is pregnant with their first child.\r\n\r\nBewildered, Shinpachi agrees to join the Shinsengumi at Otae and Kondou's request and finds even more startling transformations afoot both in and out of the ranks of the the organization. However, discovering that Vice Chief Toushirou Hijikata has remained unchanged, Shinpachi and his unlikely Shinsengumi ally set out to return the city of Edo to how they remember it.\r\n\r\nWith even more dirty jokes, tongue-in-cheek parodies, and shameless references, Gintama' follows the Yorozuya team through more of their misadventures in the vibrant, alien-filled world of Edo.TV51.0TV Tokyo, Aniplex, Dentsu, Trinity Sound, Miracle Robo, Studio Jack, ShueishaSunriseManga24.0PG-13 - Teens 13 or older938677652261755256882011-04-042012-03-26
9Gintama: The Final9.04Action, Comedy, Drama, Sci-FiTwo years have passed following the Tendoshuu's invasion of the O-Edo Central Terminal. Since then, the Yorozuya have gone their separate ways. Foreseeing Utsuro's return, Gintoki Sakata begins surveying Earth's ley lines for traces of the other man's Altana. After an encounter with the remnants of the Tendoshuu—who continue to press on in search of immortality—Gintoki returns to Edo.\r\n\r\nLater, the regrouped Shinsengumi and Yorozuya begin an attack on the occupied Central Terminal. With the Altana harvested by the wreckage of the Tendoshuu's ship in danger of detonating, the Yorozuya and their allies fight their enemies while the safety of Edo—and the rest of the world—hangs in the balance. Fulfilling the wishes of their teacher, Shouyou Yoshida's former students unite and relive their pasts one final time in an attempt to save their futures.Movie1.0TV Tokyo, Warner Bros. JapanBandai Namco PicturesManga104.0PG-13 - Teens 13 or older1015644051636281329552021-01-082021-01-08
NameScoreGenresSynopsisTypeEpisodesProducersStudiosSourceTime per ep (Min)RatingRankPopularityFavoritesScored ByMembersReleased dateCompleted date
13824Ningen Doubutsuen2.74Avant GardeA story about a human zoo.Movie1.0Kuri Jikken Manga KoboUNKNOWNOther2.00PG-13 - Teens 13 or older1382585322279241991962-01-011962-01-01
13825Ai (ONA)2.63RomanceThe circumstances responsible for the person's pained expression remain unknown. However, it can be surmised that love is responsible for the anguish they feel.ONA1.0UNKNOWNUNKNOWNOriginal0.12G - All Ages1382684408288343392012-08-102012-08-10
13826Love Bites2.59HorrorIn accordance with a letter she received, a schoolgirl waits for its sender on a bench in the dark. While she remains unsuspecting, the girl's friend is prepared for the worst.ONA1.0UNKNOWNUNKNOWNOriginal2.00R - 17+ (violence & profanity)1382785393295841812016-03-062016-03-06
13827Abunai Sisters: Koko & Mika2.53Action, Comedy, EcchiComputer-animated gag shorts about two female agents.OVA10.0Pony Canyon, Fuji TVProduction I.GOriginal3.00R+ - Mild Nudity13828692740463371762009-01-152009-03-05
13828Aki no Puzzle2.37Avant GardeA short 6-minute movie, containing flashing lights with images and drawings presented to the viewer.Movie1.0UNKNOWNUNKNOWNOriginal6.00R+ - Mild Nudity13829102170156423132003-01-012003-01-01
13829Kokuhaku2.30HorrorBeside a certain building, a girl appears to meet an important person. She is shy and carefully prepares herself before delivering what she has come to convey. Reaching behind her back, she lets her feelings come forth... But is it a confession of love, or something else entirely?ONA1.0UNKNOWNUNKNOWNOriginal0.67R - 17+ (violence & profanity)13830710517490466972015-08-272015-08-27
13830Hametsu no Mars2.22Horror, Sci-FiSeveral months after a probe returning from Mars burns up during reentry, strange creatures dubbed "Ancients" begin to appear throughout Tokyo. Aggressive and dangerous, they cannot be killed with ordinary weapons. As scientists struggle to find the cause of their sudden appearance, the monsters wreak havoc across the world.\r\n\r\nHumanity finds hope in the form of the MARS suit—a new weapon developed to take down these enemies. The suit, however, can only be worn by those with specific DNA. Enter Takeru Hinata, an ordinary teen with a troubled past and one of the few capable of piloting the only weapon against the Ancients. With the help of the AAST, a special police force established to defeat the dangerous creatures, the young man battles against demons both personal and global whilst trying to discover the true nature of Earth's new aggressors.OVA1.0Idea Factory, King Records, Design FactoryWAO WorldVisual novel19.00R - 17+ (violence & profanity)13831251229547630656222005-07-062005-07-06
13831Tsui no Sora2.22HentaiAfter the sudden death of a student, mysterious things start to happen and a school seemingly falls into madness.\r\n\r\nBased on the game by KeroQ.OVA1.0Obtain FutureUNKNOWNVisual novel23.00Rx - Hentai13832756324343657132002-08-102002-08-10
13832Utsu Musume Sayuri1.98Avant Garde, ComedySayuri is a curious creature who lives on her husband with her equally surreal mother and father. With an antenna-like whip protruding from her head, she is a striking daughter, and her long-awaited time to strike has come. Her family and friends watch eagerly as Sayuri carries out this bizarre ceremony.OVA1.0UNKNOWNUNKNOWNOriginal3.00R+ - Mild Nudity1383344925015873207892003-01-012003-01-01
13833Tenkuu Danzai Skelter+Heaven1.85Sci-FiWhen a mysterious entity suddenly appears in the center of Tokyo, the Alta Mira Agency is tasked to repel the extraterrestrial threat. Otsuya Funagai must guide his all-female unit of "Battle Sole" pilots to take down the strange being no matter the cost. However, his intimate relationship with one of the pilots, Rin Ichikawa, may spell trouble for the team and the mission itself.OVA1.0Idea Factory, CospaMinami Machi BugyoushoGame19.00PG-13 - Teens 13 or older13834341511126431373282004-12-082004-12-08